Prof. Mats Danielsson
at KTH Royal Institute of Technology
SPIE Involvement:
Conference Program Committee | Author | Instructor
Publications (49)

SPIE Journal Paper | 6 October 2020
JMI Vol. 7 Issue 05

Proceedings Article | 16 March 2020 Presentation + Paper
Proc. SPIE. 11312, Medical Imaging 2020: Physics of Medical Imaging
KEYWORDS: Electronics, Sensors, Silicon, Diffusion, Monte Carlo methods, Spatial resolution, Semiconducting wafers

SPIE Journal Paper | 15 October 2019
JMI Vol. 6 Issue 04
KEYWORDS: Sensors, Silicon, Prototyping, Modulation transfer functions, Photons, X-ray computed tomography, Scanners, Spatial resolution, Imaging systems, Image resolution

Proceedings Article | 1 March 2019 Presentation + Paper
Proc. SPIE. 10948, Medical Imaging 2019: Physics of Medical Imaging
KEYWORDS: Signal to noise ratio, Photodetectors, Electronics, Sensors, Photons, Silicon, Amplifiers

SPIE Journal Paper | 20 March 2018
JMI Vol. 5 Issue 01
KEYWORDS: Sensors, Iodine, X-ray imaging, Photons, Tissues, X-rays, Signal attenuation, Silicon, Mathematical modeling, Calibration

Showing 5 of 49 publications
Conference Committee Involvement (15)
Physics of Medical Imaging
14 February 2021 | San Diego, California, United States
Physics of Medical Imaging
16 February 2020 | Houston, Texas, United States
Physics of Medical Imaging
17 February 2019 | San Diego, California, United States
Physics of Medical Imaging
12 February 2018 | Houston, Texas, United States
Physics of Medical Imaging Posters
13 February 2017 | Orlando, FL, United States
Showing 5 of 15 Conference Committees
Course Instructor
SC1129: Photon Counting CT
This course explains the principles of photon counting detectors for spectral x-ray imaging. Typical technical implementations are described and fundamental differences to energy integrating systems are pointed out. In particular, the issues of high-rate handling and the effect of detector cross talk on energy resolution are described. Requirements on electronics for spectral imaging in computed tomography is also discussed. A second objective of the course is to describe how energy sensitive counting detectors make use of the energy sampling of the linear attenuation coefficients of the background and target materials for any given imaging task; methods like material basis decomposition and optimal energy weighting will be explained. The second objective highlights the interesting fact that while the spatial-frequency descriptor of signal-to-noise-ratio transfer (DQE) of a system gives a complete characterization of performance for energy integrating (and pure photon counting) systems, it fails to characterize multibin systems since a complete description of the transfer characteristics requires specification of how the information of each energy bin is handled. The latter is in turn dependent on the imaging case at hand which shows that there is no such thing as an imaging case independent system DQE for photon counting multibin systems. We also suggest how this issue could be resolved.
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